Jurnal Teknik Informatika (JUTIF)
Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology. Jurnal Teknik Informatika (JUTIF) is published by Informatics Department, Universitas Jenderal Soedirman twice a year, in June and December. All submissions are double-blind reviewed by peer reviewers. All papers must be submitted in BAHASA INDONESIA. JUTIF has P-ISSN : 2723-3863 and E-ISSN : 2723-3871. The journal accepts scientific research articles, review articles, and final project reports from the following fields : Computer systems organization : Computer architecture, embedded system, real-time computing 1. Networks : Network architecture, network protocol, network components, network performance evaluation, network service 2. Security : Cryptography, security services, intrusion detection system, hardware security, network security, information security, application security 3. Software organization : Interpreter, Middleware, Virtual machine, Operating system, Software quality 4. Software notations and tools : Programming paradigm, Programming language, Domain-specific language, Modeling language, Software framework, Integrated development environment 5. Software development : Software development process, Requirements analysis, Software design, Software construction, Software deployment, Software maintenance, Programming team, Open-source model 6. Theory of computation : Model of computation, Computational complexity 7. Algorithms : Algorithm design, Analysis of algorithms 8. Mathematics of computing : Discrete mathematics, Mathematical software, Information theory 9. Information systems : Database management system, Information storage systems, Enterprise information system, Social information systems, Geographic information system, Decision support system, Process control system, Multimedia information system, Data mining, Digital library, Computing platform, Digital marketing, World Wide Web, Information retrieval Human-computer interaction, Interaction design, Social computing, Ubiquitous computing, Visualization, Accessibility 10. Concurrency : Concurrent computing, Parallel computing, Distributed computing 11. Artificial intelligence : Natural language processing, Knowledge representation and reasoning, Computer vision, Automated planning and scheduling, Search methodology, Control method, Philosophy of artificial intelligence, Distributed artificial intelligence 12. Machine learning : Supervised learning, Unsupervised learning, Reinforcement learning, Multi-task learning 13. Graphics : Animation, Rendering, Image manipulation, Graphics processing unit, Mixed reality, Virtual reality, Image compression, Solid modeling 14. Applied computing : E-commerce, Enterprise software, Electronic publishing, Cyberwarfare, Electronic voting, Video game, Word processing, Operations research, Educational technology, Document management.
Articles
962 Documents
<![CDATA[WEBSITE NETWORK AUTOMATION DESIGN AND IMPLEMENTATION IN RT RW NET SENDEN DUSUN MAGELANG WITH DJANGO FRAMEWORK ]]>
<![CDATA[Yoel Chandra Eka Paksi]]>;
<![CDATA[Indrastanti R. Widiasari]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.350
<![CDATA[RT RW NET is part of the Internet facilities owned by the hamlet of Senden Magelang, whose purpose is to provide cheap Internet facilities.However, behind the existing facilities several problems emerged, based on a statement from the hamlet of sending that the problem that arose was the configuration process for adding new users, which took a long time due to manual configuration in each RT (Rukun Tetangga) and RW (Rukun Warga) alley. Therefore, in this study, a website-based network automation application was created using the Django framework and developed using the Waterfall method, thus providing easy access and fast configuration when configuring new users. After designing the network automation website, the website will be operated by the network administrator, who hopes to simplify and shorten the time for new user configurations.]]>
<![CDATA[DEVELOPMENT OF PRICE DISTRIBUTION MODULE ON MERCHANDISE APPLICATION USING FLASK FRAMEWORK AT PT XYZ ]]>
<![CDATA[Josua Ade Saputra]]>;
<![CDATA[Yerymia Alfa Susetyo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.351
<![CDATA[PT XYZ adalah perusahaan di Indonesia yang bergerak dalam bidang retail yang memiliki lebih dari 14.300 toko serta 32 cabang atau warehouse. Masalah muncul ketika cabang telah menentukan harga dari suatu barang dan harga barang harus disebarkan ke setiap toko. Harga dari suatu barang akan selalu berubah karena adanya promo dan diskon yang memiliki masa periode nya sendiri, sehingga diperlukan penyebaran harga ke toko secara real-time. Selain itu, dengan jutaan transaksi tiap harinya mengakibatkan pertumbuhan data yang sangat cepat dan memerlukan penyimpanan yang besar. Modul aplikasi digunakan untuk mendistribusikan harga yang telah ditetapkan ke setiap toko dengan cepat dan tepat. Pengembangan sistem ini menggunakan Framework Flask dengan bahasa pemrograman Python. Flask memudahkan dalam pengembangan sistem karena penggunaannya yang sederhana. Pengembang bisa menentukan sendiri library yang akan akan digunakan, sehingga sistem yang dibuat menjadi lebih ringan. Flask memiliki package flask-sqlalchemy bind yang dapat dengan mudah melakukan distribusi data ke database yang sesuai. Hasil dari penelitian ini adalah sebuah modul aplikasi distribusi harga yang kemudian diimplementasikan menggunakan bahasa pemrograman Python dan Framework Flask.]]>
<![CDATA[MODIFICATION ADVANCED ENCRYPTION STANDARD (AES) ALGORITHM WITH PERFECT STRICT AVALANCHE CRITERION S-BOX ]]>
<![CDATA[Novita Angraini]]>;
<![CDATA[Yohan Suryanto]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.4.352
<![CDATA[The Advanced Encryption Standard or better known as the AES Algorithm is a standard algorithm and has been widely used as an application of cryptography. Currently, a lot of research is developing about attacks on the AES algorithm. Therefore, there have been many studies related to modifications to the AES algorithm with the aim of increasing the security of the algorithm and to produce alternatives to encryption algorithms that can be used to secure data. In this study, modifications were made to the AES algorithm by replacing the S-box using the perfect SAC S-box in the SubBytes process. The Perfect SAC S-box has an exact SAC average value of 0.5. The S-box that will be used must have good security strength, therefore the perfect SAC S-box is tested, namely the AC, SAC, BIC, XOR Table Distribution, and LAT Distribution tests. Based on the results of the study, it was found that the perfect SAC S-box had almost the same S-box test results as the AES S-box. Furthermore, after the perfect SAC S-box is applied to the AES algorithm, it is analyzed how the effect of these modifications on the AES algorithm uses randomness testing for the block cipher algorithm, namely the strict avalanche criterion (SAC) test. The results of the AES test with perfect SAC S-box can meet the SAC test since the second round with better results than the original AES algorithm with SAC values of 0.5003 and 0.5019.]]>
<![CDATA[APPLICATION OF K-MEANS METHOD IN THE SPREAD OF POSITIVE CASES OF COVID-19 IN SALATIGA CITY ]]>
<![CDATA[Gladis Tri Enggiel]]>;
<![CDATA[Hindriyanto Dwi Purnomo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.356
<![CDATA[Covid-19 is an infectious disease caused by SARS-CoV-2. It was discovered in Wuhan, China. It has been spread in every countries, especially in Indonesia. It has spreading all districts/cities in every province, one of it is City of Salatiga. This research used to determine the grouping of the spread of Covid-19 positive cases in each "kelurahan" in order to find out which villages has contributed the most positive cases. The research uses the calculation process for the distribution of clusters, it is divided into 3 which are categorized as overage (from the range 200-150), moderate (from the range 100-55), and few (from the range 50-5). This grouping process is assisted by the RapidMiner Studio tools. From this calculation, cluster 1 (C1 = a lot) is the highest cluster consisting of 5 villages, cluster 2 (C2 moderate) is a medium cluster consisting of 6 villages, and cluster 0 (C3 is few) is a small cluster. consists of 12 villages. From this grouping, it can be seen that cluster 1 is the highest cluster because the highest range is in cluster 1. The results of this grouping can be applied and can provide information about the spread of positive cases of Covid-19 in Salatiga City.]]>
<![CDATA[IMPLEMENTATION OF THE TOGAF FRAMEWORK ON A VIRTUAL TOUR OF WEB-BASED CILETUH GEOPARK TOURIST ATTRACTIONS ]]>
<![CDATA[Ramdani Amarulloh]]>;
<![CDATA[Muhammad Muslih]]>;
<![CDATA[Nunik Destria Arianti]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.357
<![CDATA[Ciletuh Geopark area is one of the marine tourism in Sukabumi regency. This tour has been recognized by UNESCO both nationally and internationally which now has changed its name to Ciletuh Geopark. However, in the management of information technology, there are still several problems, including the lack of information about the condition of the tourist attraction in Palabuhan Ratu Ciletuh Geopark, Sukabumi Regency. This study designed an information system based on a virtual tour website with the aim of being able to help tourists and the people to be able to find information online about Geopark Palabuhan Ratu Ciletuh tourist attraction, Sukabumi Regency with various existing tourist objects that can be accessed via the internet. This study uses the togaf framework where this framework has a systematic nature so that it is more flexible. Sources of data were taken by searching online from several sources related to the Ciletuh Geopark, Sukabumi Regency. The results obtained are in the form of a 3D virtual tour website where this website displays a 360 panorama along with information from each tourist attraction location as well as testing using blackbox and UAT (User Acceptance Test) every feature on the VIRGEO (Virtual Geopark) website has been fulfilled so that users can more easily access and find out the condition about Palabuhan Ratu Ciletuh Geopark tourist attraction, Sukabumi Regency easier.]]>
<![CDATA[WEB-BASED EXPERT SYSTEM TO DIAGNOSE OVARIAL CYST DISEASE USING CERTAINTY FACTOR METHOD ]]>
<![CDATA[Ayu Sundari]]>;
<![CDATA[Riki Andri Yusda]]>;
<![CDATA[Tika Christy]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.362
<![CDATA[Ovarian cysts are one of the most common forms of reproductive disease affecting women. Cyst or tumor is a form of abnormality that can be regarded as a benign growth of smooth muscle cells in the ovaries. Cysts are usually harmless but do not rule out the possibility of a malignant cyst or even turn into cancer. The thing that makes ovarian cysts dangerous is when they burst, are very large, or block the blood supply to the ovaries. Lack of knowledge of the general public about the symptoms that cause ovarian cyst disease makes it too late to detect this disease early so it is slow in handling, there are even some cysts or tumors which when they become malignant are only detected as having ovarian cysts, as well as unhealthy lifestyles of today's society such as consuming alcohol, fast food, causing the body to produce more chemicals. To overcome this problem, the design of a web-based expert system to diagnose ovarian cyst disease using the certainty factor method is made to assist the public or users in diagnosing through the symptoms they feel. The method used to diagnose ovarian cyst disease is the Certainty Factor method. From the calculations that have been inputted by the user, the results obtained are 97% confidence that the patient is likely to be diagnosed with cystadenoma ovarii mucinosum. With this web-based expert system program, it is hoped that the general public or users can diagnose ovarian cyst disease through the symptoms felt so as to minimize the possibility of the cyst becoming malignant.]]>
<![CDATA[COVID-19 DIAGNOSIS EXPERT SYSTEM WITH CERTAINTY FACTOR METHOD ]]>
<![CDATA[Novia Nur Arifah]]>;
<![CDATA[Jati Sasongko Wibowo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.365
<![CDATA[Covid-19 is a new type of virus that is currently a pandemic in almost all countries. The limitations of experts for diagnosis and recommending rapid action to patients who are diagnosed positively, as well as the limitations of the expert area in the environment wh ere the Covid-19 outbreak occurred. This expert system aims as an early diagnosis system for Covid-19 so that patients can receive treatment immediately, and help stop the wider spread of the virus. Using predetermined parameters and there is also a system that can later make it easier for users to find out the diagnosis of Covid-19 caused by the coronavirus. The method used for this expert system research is Certainty Factor (CF). This method aims to showed how much the confidence value is based on the clinical parameters given by MYCI. The advantage of the Certainty Factor method is that it can be measured something that is certain or uncertain. And to maintain accuracy, Certainty Factor can only process two data. The Expert System uses the Certainty Factor (CF) method to diagnose Covid-19 disease, starting with the collection of symptom data and giving confidence values by the expert on each symptom, then the symptom data input stage from the user and the system will calculate based on the Certainty Factor rule, multiplying the weight value namely user CF and expert CF, combining the results of the multiplication of each symptom, so that a percentage of confidence is obtained as the final diagnosis result. After calculating the accuracy test of the 3 rule system with 99% positive Covid-19 results, 48% most likely Covid-19 and 29% negative Covid-19.]]>
<![CDATA[THE INTRODUCTION OF HIJAIYAH LETTERS IN SIGN LANGUAGES USING AUGMENTED REALITY TECHNOLOGY ]]>
<![CDATA[Dewi Tresnawati]]>;
<![CDATA[Rendi Algani]]>;
<![CDATA[Syauqi Mubaraq]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.4.368
<![CDATA[The use of communication through sign language is generally carried out by someone who has a hearing barrier and communicates directly verbally, one of which is deaf and deaf. Deaf people have problems receiving information from the environment which results in less-than-optimal delivery of learning material so that it affects their learning achievement. One of them is the achievement in the field of Islam by recognizing hijaiyah letters. Therefore, we need a media that can optimize other senses, namely the sense of sight, one of which uses Augmented Reality technology. Making hijaiyah letter recognition learning applications using sign language with Augmented Reality technology which is expected to help deaf people in receiving material and teachers / teachers in delivering learning material. In this study, using the Multimedia Development Life Cycle research method, application testing uses the Alpha testing method with Black Box testing and Betta testing on user satisfaction. The test results 96% of respondents stated that the use of augmented reality technology helps in the learning process so that it can be a solution in tackling the problem of less than optimal acceptance of information from the environment so that it affects the learning achievement of people with speech deafness. Based on the test results 86.4% of users of the hijaiyah letter recognition application with the language used to assist in the learning process, especially the Koran lesson using the language of the manager.]]>
<![CDATA[DECISION SUPPORT SYSTEM FOR DETERMINING CUSTOMER FEASIBILITY TO GRANT CREDIT ON SAVING AND LOAN COOPERATIVES USING COMPARISONS OF TOPSIS AND SAW METHOD ]]>
<![CDATA[Dian Ayu Wigasari]]>;
<![CDATA[Jati Sasongko Wibowo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.369
<![CDATA[Cooperative is one of the institutions engaged in the financial sector with the business of providing savings and loan funds to its members to improve the welfare of the community's economy however currently there are still many errors that occur in the calculation process and it takes a very long time, so we need a system that can simplify the selection process in determining a decision. This research aims to support a decision support system for determining the eligibility of customers by comparing the two, so that it can be determined which method is more relevant to be implemented in the case of customers selection in grant credit. In its application, this research uses a comparison of two methods, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Simple Additive Weighting (SAW) methods. At the system design stage, the design model and system development flow are used as an illustration in the operation of the decision support system that has been carried out based on system analysis. Based on the results of the research and discussion, it can be concluded that the comparison of TOPSIS and SAW methods has inequality in the final results that can be seen from the ranking process. The test results show that the SAW method produces a value of 0.82% for customers named lintang with the highest, while TOPSIS with a value of 0.65% for highest value, so that the SAW method is more recommended in providing solutions to the decision support system.]]>
<![CDATA[IDENTIFICATION OF MENTAL ILNESS FROM PATIENT DISEASES USING KNN AND LEVENSHTEIN DISTANCE ALGORITHM ]]>
<![CDATA[Yustika Rahma]]>;
<![CDATA[Agi Prasetiadi]]>;
<![CDATA[Merlinda Wibowo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.20884/1.jutif.2022.3.5.371
<![CDATA[According to WHO, in 2017, the estimated number of people with mental disorders worldwide was around 450 million people, including schizophrenia. Globally, for the condition of Southeast Asia alone, the number of people affected by mental disorders is 13.5%. Meanwhile, 13.4% of cases in Indonesia are affected by mental illness. The Association of Mental Medicine Specialists (PDSKJ) during October 2020 noted that 5661 people who did self-examination through the PDSKJ website came from 31 provinces and found that 32% of the population had psychological problems and 68% had no psychological issues. Seeing that the level of mental illness in Indonesia is increasing, it is necessary to have a system to help the community with early prevention and treatment. With the growth of technology at its peak, Machine Learning technology can overcome the problem which is part of artificial intelligence. Furthermore, machine learning has an important role in improving the quality of health services because it is able to provide a medical diagnosis to predict disease. Therefore, the authors conducted a study to create a system to identify mental illness using the TF-IDF method. This method calculates the word weighting from a collection of complaints that the user gives. Then, these complaints will be classified using the KNN algorithm classification method and the Levenshtein Distance method to find the distance between the word inputted by the user and the word in the database and then calculate the number of differences between the two strings in the form of a matrix. The accuracy result of this machine learning classification is 0.928 or 93%, and will be visualized through web-based software using the Flask framework.]]>
